activity
20232026
most citedA Neural-Network-Based Approach for Loose-Fitting Clothing

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Flexible Motion Generation from Language and Style References

Kai Weixian Lan, Bodie Criswell, Briana Fedkiw +3

We introduce FlexMoGen, a novel framework for flexible human motion synthesis conditioned on both natural language descriptions and motion style references. Text prompts are effect…

cs.CV2024

Shallow Signed Distance Functions for Kinematic Collision Bodies

Osman Akar, Yushan Han, Yizhou Chen +4

We present learning-based implicit shape representations designed for real-time avatar collision queries arising in the simulation of clothing. Signed distance functions (SDFs) hav…

cs.GR2024

A Thermomechanical Hybrid Incompressible Material Point Method

Victoria Kala, Jingyu Chen, David Hyde +2

We present a novel hybrid incompressible flow/material point method solver for simulating the combustion of flammable solids. Our approach utilizes a sparse grid representation of…

cs.GR2024★ 1 cited

A Neural-Network-Based Approach for Loose-Fitting Clothing

Yongxu Jin, Dalton Omens, Zhenglin Geng +4

Since loose-fitting clothing contains dynamic modes that have proven to be difficult to predict via neural networks, we first illustrate how to coarsely approximate these modes wit…

math.NA2023

A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions

Kai Weixian Lan, Elias Gueidon, Ayano Kaneda +2

We introduce a neural-preconditioned iterative solver for Poisson equations with mixed boundary conditions. Typical Poisson discretizations yield large, ill-conditioned linear syst…